Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2180
- Type
- D - Journal article
- DOI
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10.1109/TIP.2015.2496279
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 988
- Volume
- 25
- Issue
- 2
- ISSN
- 1057-7149
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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https://doi.org/10.1109/TIP.2015.2496279
- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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9
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first paper proposing minimal path propagation with backtracking to improve curve-like structure extraction. The method is applicable to tubular surface segmentation, vascular centerline extraction, skeletonization, motion tracking, etc. This highly cited paper has stimulated hundreds of works, including some highly cited influential outputs, e.g., H Fang (IEEE TCSVT, 2020), P Duan (IEEE JSTARS, 2019), D Chen (IEEE TIP, 2019), P Hernandez-Herrera (IEEE TMI, 2018), J Zhang (IEEE TBE, 2018), Y Zhao (IEEE TMI, 2018), Y Li (IEEE TMI, 2017), WC Yeh (IEEE TNNLS, 2017), J Zhang (Pattern Recognition, 2017)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -